TokenGO vs RouteMux

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

TokenGO compared with RouteMux
Detail	TokenGO	RouteMux
What it does	Self-operated inference API for open-weight LLMs and video models	One API for hundreds of AI models with unified billing and refundable balance
Stage	Not given	Startup
Founded	Not given	2026
Based in	US	Not given
Pricing model	Paid	Paid
Pricing	Standard (pay-as-you-go, under $1K/month): List price with unified API, cost monitoring, usage limits, unlimited seats. Growth ($1K-$15K/month): 20% volume discount, quarterly billing, priority support, SLA. Scale ($15K-$40K/month): 30% volume discount, dedicated support, DPA. Custom ($40K+/month):	Usage-based prepaid credits with transparent per-token pricing. Examples: GPT-6.1 Terra from $0.15 input / $0.75 output per 1M tokens; Claude Haiku 5.5 from $0.03/M input / $0.12/M output; Claude Opus 5.5 from $1.12/M input / $5.6/M output. First top-up receives 10% bonus credits (up to $200, minimu
Key features	Zero-retention privacy policy Smart routing optimization Hardware adaptation per request Inference engine kernel optimization KV cache layer for token reuse Unified API across model catalog Cost and usage monitoring Volume-based tiered discounting Data Processing Agreement available	One API for hundreds of models across OpenAI, Anthropic, Google, DeepSeek, MiniMax and more OpenAI, Anthropic, and Vertex protocol compatibility Multi-layer redundancy with automatic failover Usage-based billing with no monthly minimum Only successful requests are billed, failures are free Refundable balance at any time Visible rate limits per account Support for text, image and video workloads
What makes it different	Single API key for access to leading models like DeepSeek, Kimi, and Qwen Enterprise uptime and service guarantees without separate integrations Zero-retention privacy with US governance and DPA support Cost-efficiency through kernel optimization adopted by frontier labs No integration rewrite required for teams already using OpenAI-compatible APIs	Reliability-first architecture with multi-layer redundancy across network, gateway and model layers Transparent, refundable balance instead of locked-in subscriptions Unified billing across all model families with one invoice Health-aware routing across vendors with automatic failover
Community votes	0	0
DR (Domain Rating by Ahrefs)	17 no change since last check	23 +1 (up) since last check
Trust Flow (Majestic)	4	4
Citation Flow (Majestic)	27	29
Referring domains (Majestic)	77	16

5 details filled in for both companies.

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